2013
DOI: 10.1007/978-1-4614-5632-2
|View full text |Cite
|
Sign up to set email alerts
|

3D Surface Reconstruction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
4
4

Relationship

1
7

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 165 publications
0
7
0
Order By: Relevance
“…The method is robust, and the accuracy constraints are identical regardless of the scanned scene. Smooth homogeneous structures or repeated patterns are processed flawlessly (this being a substantial difference from the problematic procedure that characterizes, for example, methods based on stereophotogrammetric principles [19]), and the 3D model does not exhibit a cumulative deviation (unlike the products of, for example, handheld scanners [20] or other methods based on Iterative closest point (ICP) principle [21][22][23]). The manipulator moves the sensors along the body being scanned (Figure 4d), and the software processes, in real time, the distance data measured by the laser scanner into the form of a 3D surface model (Figure 4b).…”
Section: Methodsmentioning
confidence: 99%
“…The method is robust, and the accuracy constraints are identical regardless of the scanned scene. Smooth homogeneous structures or repeated patterns are processed flawlessly (this being a substantial difference from the problematic procedure that characterizes, for example, methods based on stereophotogrammetric principles [19]), and the 3D model does not exhibit a cumulative deviation (unlike the products of, for example, handheld scanners [20] or other methods based on Iterative closest point (ICP) principle [21][22][23]). The manipulator moves the sensors along the body being scanned (Figure 4d), and the software processes, in real time, the distance data measured by the laser scanner into the form of a 3D surface model (Figure 4b).…”
Section: Methodsmentioning
confidence: 99%
“…The liquid-vapor interface reconstruction process infers the three-dimensional interface position from the obtained stereo image pairs obtained. For this purpose, it is necessary to identify pixels in the left and right views that correspond to the same point on the interface in the physical world, which is known as the correspondence problem [11]. Once the correspondences are determined, the geometric information about the camera system, which is known from the calibration process, is used to determine the threedimensional coordinates of the matched points among the views.…”
Section: Liquid-vapor Interface Reconstructionmentioning
confidence: 99%
“…An ideal measurement system to map the gaseous phase distribution and track the interface in a two-phase flow should be accurate, non-invasive, applicable to different flow configurations, easy to implement, and have high spatial and temporal resolution [11]. Multiple techniques have been developed with inherent tradeoffs among these traits, typically with an emphasis on characterizing dispersed bubbly flows.…”
Section: Introductionmentioning
confidence: 99%
“…Many scanners use some method based on ICP [49], usually optimized [50] or modified for specific application [51]- [53]. This approach has two disadvantages: The absolute accuracy is very low, due to cumulative character of localizing algorithm, which sums partial errors [54].…”
Section: Sensor Localizationmentioning
confidence: 99%